Time–domain feature representation for imagined grip force movement-related cortical potentials(MRCP)of the right or left hand and the decoding of imagined grip force parameters based on electroencephalogram(EEG)acti...Time–domain feature representation for imagined grip force movement-related cortical potentials(MRCP)of the right or left hand and the decoding of imagined grip force parameters based on electroencephalogram(EEG)activity recorded during a single trial were here investigated.EEG signals were acquired from eleven healthy subjects during four different imagined tasks performed with the right or left hand.Subjects were instructed to execute imagined grip movement at two different levels of force.Each task was executed 60 times in random order.The imagined grip force MRCP of the right or left hand was analyzed by superposition and averaging technology,a single-trial extraction method,analysis of variance(ANOVA),and multiple comparisons.Significantly different features were observed among different imagined grip force tasks.These differences were used to decode imagined grip force parameters using Fisher linear discrimination analysis based on kernel function(k-FLDA)and support vector machine(SVM).Under the proposed experimental paradigm,the study showed that MRCP may characterize the dynamic processing that takes place in the brain during the planning,execution,and precision of a given imagined grip force task.This means that features related to MRCP can be used to decode imagined grip force parameters based on EEG.ANOVA and multiple comparisons of time–domain features for MRCP showed that movement-monitoring potentials(MMP)and specific interval(0–150 ms)average potentials to be significantly different among 4 different imagined grip force tasks.The minimum peak negativity differed significantly between high and low amplitude grip force.Identification of the 4different imagined grip force tasks based on MMP was performed using k-FLDA and SVM,and the average misclassification rates of 27%±5%and 24%±4%across 11 subjects were achieved respectively.The minimum misclassification rate was 15%,and the average minimum misclassification rate across 11 subjects was24%±4.5%.This investigation indicates that imagined grip force MRCP may encode imagined grip force parameters.Single-trial decoding of imagined grip force parameters based on MRCP may be feasible.The study may provide some additional and fine control instructions for brain–computer interfaces.展开更多
In this study, we compared two types of EEG modalities, sensory-motor rhythms(SMR) and movement related cortical potentials(MRCP), on four healthy subjects performing ballistic or repetitive movement imagination. The ...In this study, we compared two types of EEG modalities, sensory-motor rhythms(SMR) and movement related cortical potentials(MRCP), on four healthy subjects performing ballistic or repetitive movement imagination. The EEG waveform morphology across subjects was similar for MRCPs, whereas there was not a clear pattern for SMRs. The rank-sum test showed a significant difference between the amplitude of baseline and that of the MRCP as early as 2 s prior to imagery onset, for both types of motor imageries, indicating strong discriminative power of MRCPs for predicting movement onset. For SMR, this type of discriminative power was relatively weak and highly subject-specific. On the other hand, the SMR landscape under the two movement imagery types was distinctive, holding a potential for discriminating the two movement imagery types. These preliminary results presented different characteristics of SMR and MRCP under different motor imageries, providing valuable information regarding the design and implementation of motor imagery based on BCI system.展开更多
运动相关皮层电位是一种事件相关电位,可以反映运动前的策划、准备和早期的运动执行过程,近年来多受关注。以Web of Science核心合集收录2000年至今“运动相关皮层电位”为研究主题的498篇文献为数据来源,利用Cite SpaceⅤ可视化技术绘...运动相关皮层电位是一种事件相关电位,可以反映运动前的策划、准备和早期的运动执行过程,近年来多受关注。以Web of Science核心合集收录2000年至今“运动相关皮层电位”为研究主题的498篇文献为数据来源,利用Cite SpaceⅤ可视化技术绘制图谱分析相关问题。分析表明,研究热点主要集中于运动关联电位、运动皮层、脑电图、运动等方向。运动相关皮层电位的研究发展按照时间可以分为3个阶段:第一阶段主要以大脑额叶、诱发电位、吞咽诱发运动相关皮层电位的研究为主;第二阶段以脑机接口、运动想象、运动检测电位与帕金森综合征为主;第三阶段研究趋势逐渐向着康复性研究方向发展,主要以脑电图学、注意力、以及抓握分析为主。通过对运动相关皮层电位的研究热点以及发展历程进行分析,有助于对体育训练和运动康复等领域提供理论和应用研究方面的参考。展开更多
基金the National Natural Science Foundation of China (60705021)the research project of State Key Laboratory of Robotics of Shenyang Institute of Automation (SIA),Chinese Academy of Science (CAS) (08A120C101)+2 种基金Research project for application foundation of Yunnan Province (2013FB02b)Cultivation Program of Talents of Yunnan Province (KKSY201303048)Focal Program for Education Office of Yunnan Province (2013Z130)
文摘Time–domain feature representation for imagined grip force movement-related cortical potentials(MRCP)of the right or left hand and the decoding of imagined grip force parameters based on electroencephalogram(EEG)activity recorded during a single trial were here investigated.EEG signals were acquired from eleven healthy subjects during four different imagined tasks performed with the right or left hand.Subjects were instructed to execute imagined grip movement at two different levels of force.Each task was executed 60 times in random order.The imagined grip force MRCP of the right or left hand was analyzed by superposition and averaging technology,a single-trial extraction method,analysis of variance(ANOVA),and multiple comparisons.Significantly different features were observed among different imagined grip force tasks.These differences were used to decode imagined grip force parameters using Fisher linear discrimination analysis based on kernel function(k-FLDA)and support vector machine(SVM).Under the proposed experimental paradigm,the study showed that MRCP may characterize the dynamic processing that takes place in the brain during the planning,execution,and precision of a given imagined grip force task.This means that features related to MRCP can be used to decode imagined grip force parameters based on EEG.ANOVA and multiple comparisons of time–domain features for MRCP showed that movement-monitoring potentials(MMP)and specific interval(0–150 ms)average potentials to be significantly different among 4 different imagined grip force tasks.The minimum peak negativity differed significantly between high and low amplitude grip force.Identification of the 4different imagined grip force tasks based on MMP was performed using k-FLDA and SVM,and the average misclassification rates of 27%±5%and 24%±4%across 11 subjects were achieved respectively.The minimum misclassification rate was 15%,and the average minimum misclassification rate across 11 subjects was24%±4.5%.This investigation indicates that imagined grip force MRCP may encode imagined grip force parameters.Single-trial decoding of imagined grip force parameters based on MRCP may be feasible.The study may provide some additional and fine control instructions for brain–computer interfaces.
文摘In this study, we compared two types of EEG modalities, sensory-motor rhythms(SMR) and movement related cortical potentials(MRCP), on four healthy subjects performing ballistic or repetitive movement imagination. The EEG waveform morphology across subjects was similar for MRCPs, whereas there was not a clear pattern for SMRs. The rank-sum test showed a significant difference between the amplitude of baseline and that of the MRCP as early as 2 s prior to imagery onset, for both types of motor imageries, indicating strong discriminative power of MRCPs for predicting movement onset. For SMR, this type of discriminative power was relatively weak and highly subject-specific. On the other hand, the SMR landscape under the two movement imagery types was distinctive, holding a potential for discriminating the two movement imagery types. These preliminary results presented different characteristics of SMR and MRCP under different motor imageries, providing valuable information regarding the design and implementation of motor imagery based on BCI system.
文摘运动相关皮层电位是一种事件相关电位,可以反映运动前的策划、准备和早期的运动执行过程,近年来多受关注。以Web of Science核心合集收录2000年至今“运动相关皮层电位”为研究主题的498篇文献为数据来源,利用Cite SpaceⅤ可视化技术绘制图谱分析相关问题。分析表明,研究热点主要集中于运动关联电位、运动皮层、脑电图、运动等方向。运动相关皮层电位的研究发展按照时间可以分为3个阶段:第一阶段主要以大脑额叶、诱发电位、吞咽诱发运动相关皮层电位的研究为主;第二阶段以脑机接口、运动想象、运动检测电位与帕金森综合征为主;第三阶段研究趋势逐渐向着康复性研究方向发展,主要以脑电图学、注意力、以及抓握分析为主。通过对运动相关皮层电位的研究热点以及发展历程进行分析,有助于对体育训练和运动康复等领域提供理论和应用研究方面的参考。
